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{{Probability fundamentals}}
 
A '''random variable''' (also called '''random quantity''', '''aleatory variable''', or '''stochastic variable''') is a [[Mathematics| mathematical]] formalization of a quantity or object which depends on [[randomness|random]] events.<ref name=":2">{{cite book|last1=Blitzstein|first1=Joe|title=Introduction to Probability|last2=Hwang|first2=Jessica|date=2014|publisher=CRC Press|isbn=9781466575592}}</ref> The term 'random variable' in its mathematical definition refers to neither randomness nor variability<ref>{{Cite book |last=Deisenroth |first=Marc Peter |url=https://www.worldcat.org/oclc/1104219401 |title=Mathematics for machine learning |date=2020 |others=A. Aldo Faisal, Cheng Soon Ong |isbn=978-1-108-47004-9 |___location=Cambridge, United Kingdom |oclc=1104219401 |publisher=Cambridge University Press}}</ref> but instead is a mathematical [[function (mathematics)|function]] in which
 
* the [[Domain of a function|___domain]] is the set of possible [[Outcome (probability)|outcomes]] in a [[sample space]] (e.g. the set <math>\{H,T\}</math> which are the possible upper sides of a flipped coin heads <math>H</math> or tails <math>T</math> as the result from tossing a coin); and